Abstract
The variable and unpredictable output from distributed generation (DG) like wind and solar creates new reliability concerns for distribution networks. Integrating DG on a large scale can unbalance the power supply and compromise quality, making accurate reliability assessment essential. This paper puts forward a new assessment method using a Transformer network. The method first utilizes an improved minimum path algorithm designed for grids with DG. This algorithm models the scenario where a section of the grid, if cut off from the main supply, can form an operational island, using its local DG to power essential loads. Secondly, the Transformer network is innovatively applied to classify reliability indices into specific intervals, transforming a difficult prediction challenge into a more manageable classification task. This overcomes the problem of non-smoothness in reliability data. We demonstrate the method’s effectiveness on Feeder 4 of the IEEE RBTS 6-node test system. The proposed framework enables dynamic monitoring and proactive warnings against operational risks in the grid.
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Transformer-Driven Reliability Assessment for Modern Distribution Networks with Distributed Generation | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Engineering Reports This is a preprint and has not been peer reviewed. Data may be preliminary. 23 October 2025 V1 Latest version Share on Transformer-Driven Reliability Assessment for Modern Distribution Networks with Distributed Generation Authors : Yangjun ZHOU , Yuanchao ZHOU [email protected] , Wei ZHANG , Like GAO , Chenying YI , Weixiang HUANG , Ling LI , Shan LI , Juntao PAN , and Lifang WU Authors Info & Affiliations https://doi.org/10.22541/au.176125333.38982869/v1 Published Engineering Reports Version of record Peer review timeline 240 views 248 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The variable and unpredictable output from distributed generation (DG) like wind and solar creates new reliability concerns for distribution networks. Integrating DG on a large scale can unbalance the power supply and compromise quality, making accurate reliability assessment essential. This paper puts forward a new assessment method using a Transformer network. The method first utilizes an improved minimum path algorithm designed for grids with DG. This algorithm models the scenario where a section of the grid, if cut off from the main supply, can form an operational island, using its local DG to power essential loads. Secondly, the Transformer network is innovatively applied to classify reliability indices into specific intervals, transforming a difficult prediction challenge into a more manageable classification task. This overcomes the problem of non-smoothness in reliability data. We demonstrate the method’s effectiveness on Feeder 4 of the IEEE RBTS 6-node test system. The proposed framework enables dynamic monitoring and proactive warnings against operational risks in the grid. Supplementary Material File (transformer-driven reliability assessment for modern distribution networks with distributed generation.docx) Download 1.20 MB Information & Authors Information Version history V1 Version 1 23 October 2025 Peer review timeline Published Engineering Reports Version of Record 8 Jan 2026 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Engineering Reports Keywords distributed generation (dg) distribution system reliability islanding operation transformer network Authors Affiliations Yangjun ZHOU Chongqing University School of Electrical Engineering View all articles by this author Yuanchao ZHOU [email protected] China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Wei ZHANG China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Like GAO China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Chenying YI China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Weixiang HUANG China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Ling LI China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Shan LI China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Juntao PAN China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Lifang WU China Southern Power Grid Guangxi Power Grid Co Ltd View all articles by this author Metrics & Citations Metrics Article Usage 240 views 248 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yangjun ZHOU, Yuanchao ZHOU, Wei ZHANG, et al. Transformer-Driven Reliability Assessment for Modern Distribution Networks with Distributed Generation. Authorea . 23 October 2025. DOI: https://doi.org/10.22541/au.176125333.38982869/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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